#   Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import unittest
import numpy as np
import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
from paddle.fluid.op import Operator
from paddle.fluid.executor import Executor
import sys

sys.path.append('..')
from op_test import OpTest
import paddle

paddle.enable_static()


class TestGaussianRandomOp(OpTest):
    def setUp(self):
        self.op_type = "gaussian_random"
        self.place = paddle.device.MLUPlace(0)
        self.__class__.use_mlu = True
        self.set_attrs()
        self.inputs = {}
        self.attrs = {
            "shape": [123, 92],
            "mean": self.mean,
            "std": self.std,
            "seed": 10,
        }
        paddle.seed(10)

        self.outputs = {'Out': np.zeros((123, 92), dtype='float32')}

    def set_attrs(self):
        self.mean = 1.0
        self.std = 2.0

    def test_check_output(self):
        self.check_output_with_place_customized(self.verify_output, self.place)
        # self.check_output_customized(self.verify_output, self.place)

    def verify_output(self, outs):
        self.assertEqual(outs[0].shape, (123, 92))
        hist, _ = np.histogram(outs[0], range=(-3, 5))
        hist = hist.astype("float32")
        hist /= float(outs[0].size)
        data = np.random.normal(size=(123, 92), loc=1, scale=2)
        hist2, _ = np.histogram(data, range=(-3, 5))
        hist2 = hist2.astype("float32")
        hist2 /= float(outs[0].size)
        np.testing.assert_allclose(hist, hist2, rtol=0, atol=0.01)


class TestMeanStdAreInt(TestGaussianRandomOp):
    def set_attrs(self):
        self.mean = 1
        self.std = 2


if __name__ == "__main__":
    unittest.main()
